Paper Accepted at IEEE RTAS 2026! | Kamenar Research Group

We are excited to share that our paper Journal-First: Koopman-driven Grip Force Prediction Through EMG Sensing has been accepted for presentation at RTAS 2026 (32nd IEEE Real-Time and Embedded Technology and Applications Symposium)!

The paper presents a real-time pipeline for grip force estimation and short-term prediction using surface electromyography (sEMG) signals and Koopman-based modeling, with a focus on meeting practical timing constraints in rehabilitation and assistive systems. Or work also includes an open-source package with algorithms for real-time processing, filtering, and calibration of muscle activity detected using sEMG sensors.

This contribution supports one of the goals of our project “Advanced soft robots: data-driven development, modeling and control” (UIP-2025-02-1541), specifically: Establish data processing methodologies for extracting surface electromyography (sEMG) features enabling grip force forecasting.

We look forward to presenting our work at RTAS 2026 in Saint-Malo, France!

For more information about the conference visit: RTAS2026.

This research was funded by the Croatian Science Foundation.